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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Transformation Techniques	25%	- Jinja templating - Macros and packages - Common table expressions and subqueries - Refactoring and incremental models
Topic 2: Deployment and Orchestration	15%	- Git version control integration - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud
Topic 3: Testing and Documentation	20%	- Schema tests (unique, not_null, accepted_values, relationships) - Documentation generation - dbt docs and DAG visualization - Custom data tests
Topic 4: Models	25%	- Seeds - Materializations (table, view, ephemeral, incremental) - Sources and references - Snapshots - Writing and managing SQL models
Topic 5: dbt Fundamentals	15%	- dbt project structure - dbt workflow and best practices - dbt Core vs dbt Cloud

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q72-Q77):

NEW QUESTION # 72
You've been tasked with improving the discoverability of dbt models within your project. Which of the following changes would be the MOST effective in achieving this goal?

A. Using custom macros to dynamically generate model descriptions based on metadata.
B. Adding a tags list to all models, even if the tags are somewhat generic.
C. Writing longer, more verbose descriptions for each column in your models.
D. Ensuring models have clear and concise descriptions that accurately reflect their purpose.

Answer: D

Explanation:
While the other options might have some value, clear and concise model descriptions provide the most immediate and direct way for users to understand the purpose and content of a model, aiding in discoverability within the dbt project's documentation.

NEW QUESTION # 73
You're working with a dataset where a column is expected to be updated frequently with newly arriving events. Which type of test would be MOST suitable to check that this process is working as intended?

A. A schema test on the column in the source table.
B. A test comparing the row count of the source table between different dbt runs.
C. A generic 'not_null' test on the column.
D. A custom test comparing timestamps on the column in your dbt model to the current time.

Answer: D

Explanation:
It focuses on freshness, which is the core concern in this scenario. The other options, while valid, don't target this specific assumption.

NEW QUESTION # 74
You discover a vulnerability in a third-party lineage-enhancing dbt package you use. Where might you first look for information and potential fixes?

A. Only the authors of the dbt package would be able to address the vulnerability.
B. Centralized dbt documentation or a discussion forum.
C. Directly in the manifest.json or packages.yml files within your project
D. The GitHub repository or documentation of the dbt package.

Answer: D

Explanation:
The package maintainer is the primary source for updates and vulnerability fixes. However, other resources like A & C might provide additional information or community solutions.

NEW QUESTION # 75
Unexpected Results

A. Revert the changes in your version control system to restore the model to its previous working state.
B. Implement targeted profiling to measure the execution time of specific query sections within the model.
C. Use diff tools or version control history to compare the refactored logic against the previous version.

Answer: A

Explanation:
Start by gaining situational awareness (logs), pinpointing bottlenecks (profiling), and then analyzing the code change itself (diff). Revert if needed but only after some investigation.

NEW QUESTION # 76
You want to configure dbt to prevent tests from running if one or more of their parent models is unselected.
Which test command should you execute?
Choose 1 option.

A. dbt test --select "orders" --indirect-selection=cautious
B. dbt test --select "orders" --indirect-selection=buildable
C. dbt test --select "orders"
D. dbt test --select "orders" --indirect-selection=empty

Answer: D

NEW QUESTION # 77
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